Abstract: Example apparatus disclosed herein are to receive a log file, compare a first media monitor identification associated with an audio signature, a second media monitor identification associated with media metadata, and a third media monitor identification associated with event metadata. Disclosed example apparatus are also to determine if a first timestamp associated with the audio signature is within a time period, wherein the time period begins with a second timestamp associated with the media metadata and ends with a third timestamp associated with the event metadata. Disclosed example apparatus are also to validate that the audio signature satisfies a threshold for being stored as a reference signature based on at least one of the media metadata, the event metadata, the first timestamp, the second timestamp, or the third timestamp. Disclosed example apparatus are also to generate the reference signature including assigning the media metadata to the audio signature.

Abstract: Methods, apparatus, and articles of manufacture are disclosed. An example apparatus includes a co-viewing calculator to calculate a co-viewing factor corresponding to a demographic of panelists based on exposure information, an exposure time calculator to calculate a number of census co-viewer exposure minutes based on the co-viewing factor, a data aggregator to determine an aggregate exposure time total based on census exposure information and the number of census co-viewer exposure minutes, and a report generator to generate a report including the aggregate exposure time total.

Abstract: Methods, apparatus, systems and articles of manufacture to expand panelist enrollment are disclosed. An example first media device includes processor circuitry to at least one of instantiate or execute the machine readable instructions to scan at least one local area network to which the first media device is connected, store an identification of a second media device connected to the at least one local area network, in response to scan of the at least one local area network indicating that the second media device is commonly connected to the at least one local area network with the first media device, add the identification of the second media device to a fingerprint, and transmit the fingerprint to a central facility.

Abstract: To provide an information distribution management device configured to analyze distribution in consideration of the number of unique users. An advertisement management device 100 includes a heat map generation unit 101configured to generate a heat map indicating the necessity of advertisement distribution to a designated target layer for each of a plurality of units of digital signage 300 and for each time slot, a reach curve generation unit 103 configured to function as a viewing estimation unit that estimates the viewing frequency of unique users of the target layer for the digital signage 300to which the heat map is applied, and an evaluation unit 104 configured to evaluate the heat map on the basis of the number of viewers who are unique users of the target layer (equivalent to viewing frequency) and the total number of viewers who are all users to whom the heat map is applied (viewing frequency).

Abstract: A list updating method and a list updating apparatus are provided. The method includes: receiving a list updating request sent from a client, where the list updating request includes list updating data for updating a list determining a target list corresponding to the list updating request according to the list updating data and a list configuration file, where the list configuration file includes configuration information of all configured lists; and updating the target list according to the list updating data.

Abstract: Telemetry data gathered based on content item output/playback may be used to determine/generate adjustment data that may improve the output/playback experience for future content item output/playback. The adjustment data may cause output/playback adjustments at/by an output device (e.g., a content output device, a content/media player, a client device, a mobile device, a smart device, etc.) to mitigate and/or resolve any output/playback issues caused by one or more errors associated with the content item.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement an addressable measurement framework are disclosed. Example apparatus disclosed herein perform a common homes analysis of provider data and panel data to determine a coverage footprint associated with the provider data, the provider data including at least one of return path data reported by a plurality of set-top boxes or automatic content recognition data reported by a plurality of smart media devices, and the panel data reported by media device meters. Disclosed example apparatus also weight a portion of the provider data based on the common homes analysis, weight a portion of the panel data based on the common homes analysis, and calculate an addressable advertisement rating based on the weighted portion of the provider data and the weighted portion of the panel data.

Abstract: Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes processor circuitry to execute computer readable instructions to at least: identify a candidate household from a plurality of second households to associate with a first household based on an analysis of a first duration of time first media was presented by a first media presentation device and a second duration of time second media was presented by second media presentation devices; match different ones of first panelists of the first household with matching ones of second panelists of the candidate household; and impute respective portions of the first duration of time to the different ones of the first panelists based on portions of the second duration of time for which the matching ones of the second panelists of the candidate household were exposed to the second media.

Abstract: Systems, devices, and automated processes allow automatic replacement of advertisements or other content in media programs. A content management system, another computer system, or the like operating on a digital network receives indicia from playback devices that have encountered identified advertisements in a media program. The encounters may be recorded in a database for subsequent analysis. If desired, for example if the identified advertisement become saturated for a viewer or particular playback device, the advertisements may be replaced with more relevant or engaging advertisements prior to playback of the advertisement to the viewer, thereby allowing a fresher, more relevant and more engaging experience for the viewer.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for determining an number of slots for achieving a desired reach specified in a media content delivery schedule. The system, apparatus, article of manufacture, method, and/or computer program product aspects is designed with a simulation framework tuned to predict an estimate the needed number of slots based on a reach specified in the delivery schedule.

Abstract: Methods and apparatus to measure exposure to streaming media are disclosed. An example apparatus includes communication interface circuitry to obtain metering data, the metering data including a first metadata tag extracted from media at a time corresponding to a media event associated with the media, the metering data omitting second metadata tags extracted from the media by a media monitor, the second metadata tags identified for omission based on a temporal proximity of the second metadata tags to the media event, the first and second metadata tags extracted from the media when the media is presented; memory; instructions included in the apparatus; and processor circuitry to execute the instructions to determine a first exposure of an audience to the media based on the metering data, the first exposure being the same as a second exposure determined based on an analysis of the first metadata tags.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to a computing and data platform that implements logic to facilitate implementation of an automated predictive response computing system being configured to implement, for example, an automated predictive response engine configured to access internal (e.g., in-conversation) data and external (e.g., extra-conversation) data to predictively generate automated responses, such as assisting an agent or an agent computing device, among other things.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to automate the recording of media for signature creation. Reference signature requests are received from an employee or user. The reference signature request is distributed to automated capture tool circuitry, which plays the relevant media for a meter and provides a status update. When a signature is created, a status update indicates whether it is considered to be a reference signature. Prioritization circuitry assigns and updates a priority for each of the requests according to the priority of other requests, the status updates, and a priority rule set. Reference signature requests with the highest priority are assigned to automated capture tool circuitry for completion before lower priority requests.

Abstract: A system, method, and computer-program product includes obtaining an analytical request that specifies an analytical task to be performed using computing resources of an adaptive analytics compute service, determining, by the adaptive analytics compute service, an initial set of compute resources for executing the analytical request based on identifying a type of the analytical request, deploying, by the adaptive analytics compute service, a compute environment for executing the analytical request based on the initial set of compute resources, observing utilization data of the initial set of compute resources during a period of executing the analytical request within the compute environment, and commencing a machine learning-informed feedback sequence for autonomously adapting the compute environment, wherein one iteration of the machine learning-informed feedback sequence includes: generating a proposed set of compute resources, and encoding, based on the proposed set of compute resources, a set of instructi

Abstract: An embodiment of the present invention is directed to a fully self-sufficient and configurable smart contract for private blockchains that eliminates code and updates. An embodiment of the present invention does not rely on multiple smart contracts to handle incoming transactions and data. A configurable smart contract framework of an embodiment of the present invention enables end users to configure and manage various business rules to be applied to transaction data without the need to write smart contract code. These business rules may be stored in the ledger in the form of transaction configuration rules and query presets for full auditability and traceability.

Abstract: A fantasy sports interleaver may include a video segmenting device to create a plurality of video clips, a clip annotator to associate each of the plurality of video clips with at least one of achievement of an athlete, and an interleaver to associate and transmit at least some of the plurality of video clips to each of a plurality of users. The interleaver may interface with a fantasy sports platform hosting the fantasy team of the user, as well as incoming audio/video feeds from content providers, and content feeds from advertisers. Users may be prompted to predict an outcome of an event, such as a number of fantasy points that an athlete will earn in a sporting event.

Abstract: Disclosed in some examples, are methods, systems, and machine-readable mediums which provide for an automated communication session assistant that assists participants in planning and conducting communication sessions that respect one or more media customization settings of other participants. Users of the network-based communication service may register, and store in a user profile, one or more media customization settings. These media customization settings may correlate to one or more rules in a rule data store. Each rule may specify one or more media events that may impact one or more media customization settings of participants. The rules may also describe curative actions, such as prompts to participants and the like.

Abstract: The present invention relates generally to the provision of targeted advertisements in media. Systems and methods are described which facilitate addressable and non-addressable distribution of assets across a plurality of distribution networks and platforms. In this regard, an advertiser may be able to place a single order for advertising through a media distribution platform that allocates and distributes the asset via multiple channels such as internet streaming, websites (e.g., banners, pop-ups, overlays, etc.), cable, satellite, etc.

Abstract: An information processing system includes a controller. The controller acquires viewing state information together with viewer identification information from terminals of a plurality of viewers that are reproducing content in which a performance of a performer is imaged via a network in real time, the viewing state information indicating a line of sight or a position of each viewer in a coordinate system of a space where the viewer is present, the viewer identification information identifying the viewer. Further, the controller adds an effect to the content for each of the viewers on the basis of the acquired viewing state information.

Abstract: Methods and apparatus disclosed herein can be used to perform co-viewer adjustment. An example apparatus or viewership adjustment includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to determine compliant and non-compliant household panel meter data based on household metrics for past household viewing behavior, adjust undercounted viewership data based on an active media session interval associated with the household metrics, adjust overcounted viewership data based on a viewership model, the viewership model trained using the compliant household panel meter data, and output adjusted viewership data based on the adjusted undercounted viewership data and adjusted overcounted viewership data.

Abstract: A method comprising: receiving a dataset comprising (i) a plurality of images, and (ii) a set of classes associated with one or more objects in the images; selecting at least one image from the dataset; applying one or more transformations to the selected image, to create a set of transformed images, wherein each of the transformed images includes a representation of at least one of the objects; annotating at least some of the objects in the selected image and at least some of the transformed images, wherein the annotating comprises assigning each of the one or more objects to one of the classes; and calculating an ambiguity score with respect to at least one pair of classes in the set of classes, based, at least in part, on a number of times the annotating assigned a one of the objects to both of the classes in the pair.

Abstract: Techniques for disabling a sensor are described. In an example, the techniques include receiving input data indicating a request to disable a sensor of the device. Based on the input data, the sensor is disabled by at least decoupling the sensor from a power source and decoupling the sensor from an input terminal of a processor of the device. The techniques also include sending, to a plurality of clients that are implemented on the device and that are configured to receive sensor data generated by the sensor, notification data indicating that the sensor is disabled. Further, the techniques include outputting, by a user interface of the device, an indication that the sensor is disabled.

Abstract: An example system comprising at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain first time information corresponding to one or more first times that a panelist accessed first media via a television, obtain second time information corresponding to one or more second times that a household accessed second media via an over-the-top device, the second time information matching the first time information and associated with corrected demographic information of members of the household, determine that a first genre of the first media matches a second genre of the second media, determine that a member of the household accessed the second media via the over-the-top device based on historical media access events of the panelist, and attribute the access of the second media to the member of the household to create a corrected demographic impression record.

Abstract: Methods, systems, and media for transferring playback of media content are provided.

Abstract: The present disclosure relates to processing operations configured to provide processing that automatically analyzes acoustic signals from attendees of a live presentation and automatically triggers corresponding reaction indications from results of analysis thereof. Exemplary reaction indications provide feedback for live presentations that can be presented in real-time (or near real-time) without requiring a user to manually take action to provide any feedback. As a non-limiting example, reaction indications may be presented in a form that is easy to visualize and understand such as emojis or icons. Another example of a reaction indication is a graphical user interface (GUI) notification that provides a predictive indication of user intent derived from analysis of acoustic signals.

Abstract: Methods, systems, and apparatuses for determining viewership of a content item are described herein. Machine learning techniques may be used to determine which user(s) among a user group at a multi-user location is consuming a content item. A machine learning model may be trained using demographic attributes and content attributes associated with a plurality of single-user locations. A probability engine may train a machine learning model using the demographic attributes and content attributes and one or more machine learning algorithms. The trained machine learning model may be used to determine which user(s) among at least two users is consuming a content item at a multi-user location at which multiple people reside.

Abstract: Techniques herein provide an audience participation software application, system and method construction that enables remote and present users of the audience participation software application, system, and method to produce an accumulated output device effect wherein, components of the output device effect may be shared between the users, stored for further use, and/or used to control outputs of one or more communicatively coupled output device systems located and operated at one or more live entertainment events.

Abstract: Systems and methods presented herein provide for intelligent routing of requests for insertion of advertisements into content. A network element, communicatively coupled to content distributers and to advertisement decision servers (ADSs), is operable to receive a Society of Cable Telecommunications Engineers (SCTE) 130-3 request from a content distributer for advertisements to be inserted into a content selection. In response to receiving the SCTE 130-3 request, the network element communicates a request for advertisements to the ADSs, receives advertisements from each, determines a number of advertisement opportunities in the content selection, determines values of the advertisements from the ADSs, selects a portion of the advertisements from the ADSs that fulfills all of the advertisement opportunities in the content selection and that provides the most value, and combines the selected portion of the advertisements from the ADSs in a response to the content distributer for insertion into the content.

Abstract: Systems and methods are described for monitoring content consumption. A method may comprise determining, by a device, content accessed by one or more user devices. The method may comprise causing a distributed ledger record to be generated. The distributed ledger record may comprise an indication of the content. The distributed ledger record may be stored on a distributed ledger. The distributed ledger may comprise other records indicating content accessed by a plurality of other devices.

Abstract: The present disclosure is generally directed a data processing system for authenticating packetized audio signals in a voice activated computer network environment. The data processing system can improve the efficiency and effectiveness of auditory data packet transmission over one or more computer networks by, for example, disabling malicious transmissions prior to their transmission across the network. The present solution can also improve computational efficiency by disabling remote computer processes possibly affected by or caused by the malicious audio signal transmissions. By disabling the transmission of malicious audio signals, the system can reduce bandwidth utilization by not transmitting the data packets carrying the malicious audio signal across the networks.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement an addressable measurement framework are disclosed. Example apparatus disclosed herein perform a common homes analysis of provider data and panel data to determine a coverage footprint associated with the provider data, the provider data including at least one of return path data reported by a plurality of set-top boxes or automatic content recognition data reported by a plurality of smart media devices, and the panel data reported by media device meters. Disclosed example apparatus also weight a portion of the provider data based on the common homes analysis, weight a portion of the panel data based on the common homes analysis, and calculate an addressable advertisement rating based on the weighted portion of the provider data and the weighted portion of the panel data.

Abstract: Systems and methods are described for controlling media content based on user presence information. A user interaction with playing of a first media asset generated for presentation at a consumption device may be identified, and in response, historical wireless signal characteristics of a wireless network, over which wireless signals are used to generate for display the first media asset, may be determined. While a second media asset is generated for display, the second media asset at the consumption device may be modified based on user presence information determined by comparing current wireless signal characteristics of the wireless network to the historical wireless signal characteristics of the wireless network.

Abstract: A system and method for automatically controlling a mode on a set top box [100]. The method comprises identifying, from a set of pre-stored contextual information, a target pre-stored contextual information associated with an entity. The method further comprises identifying, a usage preference associated with the entity based on the target pre-stored contextual information. Thereafter the method leads to identifying, one of a presence and an absence of the entity in the vicinity of the set top box [100] based on the target pre-stored contextual information and a sensor data. The method thereafter comprises automatically controlling, the mode on the set top box [100] based on the usage preference associated with the entity and one of the presence and the absence of the entity in the vicinity of the set top box [100].

Abstract: Embodiments are directed towards selecting content search results based on the age of the viewer. The content receiver receives search criteria for a viewer, which may include the age of the viewer. The content receiver obtains search results from a search of a plurality of content. The search results are prioritized based on the age of the viewer and presented to the viewer. In this way, searching for “dog” for a four year-old may provide or prioritize different results compared to search for “dog” for an eight year-old.

Abstract: A computer-implemented method for enabling shared media interactions may include (i) identifying a group message thread that is composed of messages between a group of users, (ii) detecting that a user in the group of users is interacting with a media item posted in the group message thread, (iii) in response to detecting that the user is interacting with the media item, initiating a shared media interaction session in the group message thread for the media item, and (iv) notifying the group of users that the shared media interaction session is available in the group message thread. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes processor circuitry to execute computer readable instructions to at least: identify a candidate household from a plurality of second households to associate with a first household based on an analysis of a first duration of time first media was presented by a first media presentation device and a second duration of time second media was presented by second media presentation devices; match different ones of first panelists of the first household with matching ones of second panelists of the candidate household; and impute respective portions of the first duration of time to the different ones of the first panelists based on portions of the second duration of time for which the matching ones of the second panelists of the candidate household were exposed to the second media.

Abstract: Systems and methods are described for storing programs. For example, a media guidance application (e.g., executed on a server) may determine that a user has been watching a program (e.g., a movie) for longer than a particular time threshold (e.g., 20 minutes for a movie), and that the user has requested to access a different program (e.g., an episode of a series broadcast on another channel). In response to determining that the user has been watching the program (e.g., the movie) for longer than the particular time threshold (e.g., 20 minutes for the movie), and that the user has requested to access the different program (e.g., the episode of a series broadcast on another channel), the media guidance application may perform an action to store the initial program (e.g., the movie) before executing the request to access the different program.

Abstract: Appropriate housing equipment according to the physical ability of a trainee who has performed rehabilitation in order to restore or maintain the physical ability is easily presented. A housing equipment presentation apparatus includes a storage unit configured to store definition information defining housing equipment information according to a physical ability, an acquisition unit configured to externally acquire physical ability information of a trainee who has performed training in order to restore or maintain his/her physical ability, a conversion unit configured to convert the acquired physical ability information into the housing equipment information based on the definition information, and an output unit configured to output presentation information including the converted housing equipment information.

Abstract: A system for interactive product sampling and obtaining real-time consumer feedback to generate qualitative insights is described. The system may include an interactive imaging device, a sampling subsystem, a graphical user interface, a back-end system. The sampling subsystem dispenses product samples and obtains audio, video, or textual feedback from consumers. The system may perform sentimental and emotional analysis of video feedback to capture facial expressions and reactions of the consumer consuming the product samples. The system may use a trained model to generate qualitative insights from the feedback. Related methods, computer readable media, computer program product, apparatuses, and techniques are also described.

Abstract: Techniques for projecting household-level viewing events are described herein. Population data may be accessed including classes of a plurality of demographic attributes for households in a market. Representative household units (RHUs) may be generated, and the RHUs may be assigned a class for each of the demographic attributes and a quota based on the demographic attributes of a plurality of panelist households. Each of the panelist households may be assigned to one of the RHUs based on at least one panelist classes matching the classes for respective demographic attributes of the RHU, and the number of matching panelist households assigned to each of the RHU may be based on the quota. Panelist viewing data representing viewing events associated with the panelist household may be accessed. A report may be generated with the classes of the RHUs and the panelist viewing data of the assigned panelist households.

Abstract: Example apparatus disclosed herein are to receive a log file, compare a first media monitor identification associated with an audio signature, a second media monitor identification associated with media metadata, and a third media monitor identification associated with event metadata. Disclosed example apparatus are also to determine if a first timestamp associated with the audio signature is within a time period, wherein the time period begins with a second timestamp associated with the media metadata and ends with a third timestamp associated with the event metadata. Disclosed example apparatus are also to validate that the audio signature satisfies a threshold for being stored as a reference signature based on at least one of the media metadata, the event metadata, the first timestamp, the second timestamp, or the third timestamp. Disclosed example apparatus are also to generate the reference signature including assigning the media metadata to the audio signature.

Abstract: A method implemented by one or more computing systems includes accessing content viewing data associated with a first user account, wherein the first user account is associated with one or more client devices. The content viewing data includes temporal-based content viewing data. The method further includes determining, using one or more sequence models, a set of content viewing features based on the temporal-based content viewing data, and concatenating the content viewing features into a single computational array. The method further includes providing, through one or more dense layers of a deep-learning model, the single computational array to an output layer of the deep-learning model, and calculating, based on the output layer, one or more probabilities for one or more labels for the first user account. Each label includes a predicted attribute for the first user account.

Abstract: Devices, computer-readable media, and methods for presenting segments of at least one video program in accordance with a definition document are disclosed. For example, a processor may load a definition document for at least one video program. The definition document may specify segments of the at least one video program for presentation and further specify segment types for the segments. The segment types may identify whether a segment is to include video content, include audio content, or include both video and audio content. The processor may further obtain the at least one video program, present a first segment of the at least one video program in accordance with the definition document, and present a second segment of the plurality of segments of the at least one video program in accordance with the definition document.

Abstract: Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.

Abstract: Systems, methods, devices, instructions, and media are described for generating suggestions for connections between accounts in a social media system. One embodiment involves storing connection graph information for a plurality of user accounts, and identifying, by one or more processors of the device, a first set of connection suggestions based on a first set of suggestion metrics. A second set of connection suggestions is then identified based on a second set of suggestion metrics, wherein the second set of connection suggestions and the second set of suggestion metrics are configured to obscure the first set of connection suggestions, and a set of suggested connections is generated based on the first set of connection suggestions and the second set of connection suggestions. The set of connection suggestions is then communicated to a client device method associated with the first account.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to an automated predictive response computing system independent of electronic communication channel of an electronic message payload, the automated predictive response computing system being configured to, for example, implement a universal data space based on, at least in part, conversational data flows, which may be classified and used to provide a predictive response to assist resolution, such as assisting an agent among other things. In an example, a method may include augmenting at least a subset of one or more portions of communication data, implementing augmented communication portion data to determine a predicted response, and generating data to facilitate the predicted response based on the subset of inbound electronic messages.

Abstract: According to an aspect, there is provided a computing device for performing the following. The computing device obtains, in a code editor, one or more logical lines of code for a program. The computing device predicts, using a first prediction algorithm, one or more most probable next program instructions based on said one or more logical lines of code and displays them to the user. In response to receiving a selection of a program instruction, the computing device inserts a selected program instruction to the code editor. The computing device predicts, using a second prediction algorithm, one or more most probable sets of zero or more parameters based on a selected program instruction and said one or more logical lines of code and displays them to the user. In response to receiving a selection of a set, the computing device inserts a selected set to the code editor.

Abstract: Methods, systems, and storage media for classifying content across media formats based on weak supervision and cross-modal training are disclosed. The system can maintain a first feature classifier and a second feature classifier that classifies features of content having a first and second media format, respectively. The system can extract a feature space from a content item using the first feature classifier and the second feature classifier. The system can apply a set of content rules to the feature space to determine content metrics. The system can correlate a set of known labelled data to the feature space to construct determinative training data. The system can train a discrimination model using the content item and the determinative training data. The system can classify content using the discrimination model to assign a content policy to the second content item.

Abstract: Example apparatus to improve timestamp transition resolution of watermarks are disclosed. A disclosed example apparatus is to decode timestamps in respective ones of detected watermarks, estimate a first transition window indicative of a transition between a first time period to a second time period based on a first one of the timestamps and a second one of the timestamps, and when the first transition window does not satisfy a threshold, estimate a second transition window indicative of a transition between the second time period and a third time period based on the second one of the timestamps and a third one of the timestamps. The disclosed example apparatus is also to determine a first mapped transition window based on an intersection of the first transition window and the second transition window, and set the first mapped transition window as a reference time transition window for subsequent time periods.

Abstract: A video processing apparatus includes a registration component that registers configuration information associated with the video information; a filter component that filters the video frame such that all but the area of interest is excluded in a filtered video frame; a configuration component that configures a plurality of neural networks in at least one of a parallel configuration, sequential configuration, mixed parallel and sequential configuration that provides a configured plurality of neural networks; a processing component that processes the filtered video frame using the configured plurality of neural networks that provides insight information; a display that provides insight information to a user; and a storage component that stores the configuration information and insight information in persistent cloud-based storage. A corresponding method of processing video information and computer-readable medium are also disclosed.